Abstract Fault diagnosis with a dimension reduction based on Bayesian approach is proposed in this paper. The first step is to generate a sample (parameter) of fault-free mode class and faulty mode class. The second, in order to obtain good classification performance, a selection of important features is done with the discrete karhunen-loeve expansion. Next, the Bayes test for minimum error is used to classify the classes. Finally, the results for simulated data demonstrate the capabilities of the proposed procedure.
, , , , (11-2015)

Laboratory Accreditation
Tarek Elsmuai, (9-2019)

This paper presents a designing and implementing a simulator that allows performance analysis of a hydrogen engine. The simulator is developed using MATLAB. The simulator allows assessing the effect of air-fuel ratio (AFR) and engine rotational speed on the performance of a four cylinder hydrogen fuelled port injection internal combustion engine. The significance of this simulation is that performance of an experimental hydrogen engine can be predicted on purely theoretical basis, without actually performing the experiment. The performance parameters include Brake Specific Fuel Consumption (BSFC) and Brake Thermal Efficiency. It allows changing the input parameters and observing the influence of changed parameters on the overall performance of the engine. This has been made possible through the means of mathematical modelling. Through this model, a set of governing equations has been derived which gives near accurate results to the actual experimental values.
محمد عليوه محمد عليوه, حمزة خليفة العباني, (3-2019)